About the Role:

We are looking for a highly experienced Algorithm Engineer to lead the development of next-generation health and wellness algorithms for wearable devices including smartwatches, smart rings, and fitness trackers. The ideal candidate will have strong expertise in biosignal processing, sensor fusion, physiological modeling, and production-grade algorithm deployment on embedded wearable platforms.

This role involves working closely with hardware, firmware, data science, cloud, and product teams to build industry-leading health monitoring experiences.

Responsibilities:

Health Algorithm Development

Design, develop, and optimize algorithms for: Heart Rate (HR), Resting Heart Rate (RHR), Heart Rate Variability (HRV), Blood Oxygen -Saturation (SpO₂), Sleep Monitoring & Sleep Staging, Stress Monitoring, Respiratory Rate, Activity & Energy Expenditure Tracking,Recovery & Readiness Metrics, Women’s Health Tracking, Advanced Vital Sign Monitoring

Signal Processing

• Develop robust signal processing pipelines for: PPG (Photoplethysmography), ECG, Accelerometer, Gyroscope, Temperature Sensors, Bioimpedance Sensors
• Design motion artifact removal and noise suppression algorithms.
• Improve signal quality under challenging real-world conditions.

Sensor Fusion

• Build multi-sensor fusion frameworks combining optical, inertial, physiological, and environmental sensors.
• Enhance accuracy and reliability across different use cases and user populations.

Validation & Calibration

• Design calibration methodologies for wearable sensors.
• Define validation protocols and benchmark performance against clinical-grade references.
• Analyze large-scale datasets to improve algorithm accuracy and robustness.

Embedded Deployment